EXPERIMENTAL INVESTIGATION ON THE WELD STRENGTH OF THE STEEL BEAM WITH AND WITHOUT STIFFENER
In nature, the bucking behavior of the web of I section reduces the member's strength considerably. Hence, in common practice, people use the intermediate and end stiffeners to improve the strength of the beam. The stiffeners are connected to the web using the welded connections. In this paper, the experimental study on steel beams with and without...
By S. Kalaiselvi, R. Santhosh Kumar
MACHINE LEARNING-DRIVEN STRATEGIES FOR CUSTOMER RETENTION AND FINANCIAL IMPROVEMENT
In the telecom sector, which generates vast amounts of data daily due to its extensive client base, retaining present customers is more cost-effective than attaining new ones. Business analysts and CRM specialists must comprehend the reasons behind customer churn and identify behavioral patterns within client data. This study develops a churn forec...
By N. Rakesh, B.A. Mohan, U. Kumaran, G.L. Prakash, Rajakumar Arul, Kalaipriyan Thirugnanasambandam
INTEGRATING ENVIRONMENTAL CONSERVATION AND SUSTAINABILITY INTO COAL MINING EDUCATION
Coal mining education needs to be integrated with environmental conservation and sustainability principles so that a new generation of environmentally responsible mining professionals will be developed. This paper discusses how ecological awareness and sustainable practices need to be taught in educational programs related to coal mining to overcom...
By Rahbar Khalikova, Feruza Jumaeva, Azizbek Nazarov, Mohinur Akmalova, Feruza Umarova, Elbek Botirov, Larisa Khaydarova, Mukaddas Abduraimova
CHOICE OF EXCAVATION METHOD OF THE ORE DEPOSITS
The paper defines choice of the optimal excavation method for ore deposits, which are characterized by general irregularity due to their origin, occurrence and different content of the usable minerals. In such complex conditions, the choice of the excavation method is defined according to: the natural characteristics of the deposit and according to...
By Slobodan Majstorović, Dražana Tošić, Duško Torbica
SMART MINING: JOINT MODEL FOR PARAMETRIZATION OF COAL EXCAVATION PROCESS BASED ON ARTIFICIAL NEURAL NETWORKS
In the present paper we propose a new artificial neural network model for the estimation of coal cutting resistance and excavator performance as a nonlinear relationship between the examined input (excavator movement angle in the left and right direction, slice height and thickness, coal unit weight, compressive and shear strength) and output facto...
By Trivan Jelena, Srđan Kostić
THERMAL COMFORT IN BELGRADE, SERBIA: UTCI-BASED SEASONAL AND ANNUAL ANALYSIS FOR THE PERIOD 1991-2020
The main goal of this research is to examine thermal comfort in the central area of Belgrade (Serbia), over a period of 30 years (1991-2020). The Universal Thermal Climate Index (UTCI) was used as a measure for evaluating outdoor thermal comfort (OTC). The obtained results were considered separately for each season, as well as at the annual level. ...
By Milica Lukić, Dijana Đurić
ECO TOURISM DEVELOPMENT BASED ON NATURAL AND ARTIFICIAL SURROUNDINGS IN SEMBERIJA AND MAJEVICA AREA
Tourism is one of the most developed industries in the world that is continuously growing. It has many different shapes and types with many different factors that affect its success. Over the years, tourism has changed. The new era of tourism is trying to put focus on present environmental problems such as the amount of waste, the use of natural re...
By Dijana Đurić, Jovana Topalić Marković
GIS ANALYSIS OF THE VULNERABILITY OF FLASH FLOODS IN THE POREČKA RIVER BASIN (SERBIA)
The aim of this study is to identify and map the zones of different vulnerability to flash floods based on the geospatial analysis of natural conditions in the Porečka River basin (Republic of Serbia). The analysis covers the catchment area of the Porečka River (493.82 km2 ). Geospatial analysis was conducted using GIS software (QGIS 3.18). The Fla...
By Ana Lukić
STEP TOWARDS INTELLIGENT TRANSPORTATION SYSTEM WITH VEHICLE CLASSIFICATION AND RECOGNITION USING SPEEDED-UP ROBUST FEATURES
Vehicle classification is a crucial task owing to vehicles' diverse and intricate features, such as edges, colors, shadows, corners, and textures. The accurate classification of vehicles enables their detection and identification on roads and facilitates the development of an electronic tollcollection system for smart cities. Furthermore, vehicle ...
By Janak Trivedi, Mandalapu Sarada Devi, Brijesh Solanki
CONVERGENCE PROBLEMS WITH ANSYS'S SOLID 65 FINITE ELEMENT IN CONCRETE-FILLED TUBULAR (CFT) COLUMNS AS A CASE STUDY
Using limited materials for numerical modeling of structural samples and comparing the behavior of samples with each other in order to reduce the number of straw test samples in order to reduce laboratory costs is one of the best methods today. ANSYS is one of the finite element software that is used for modeling reinforced concrete elements by Sol...
By Barghlame Hadi